TWI771681B - Massage apparatus, system and method capable of deriving a parameter of an individual - Google Patents

Abstract

Disclosed is a massage apparatus including a processor configurable to receive a first dataset associated with a physiological parameter of an individual to derive a first emotional indication of the individual; wherein the first emotional indication and the first dataset are configured as inputs to derive a second emotional indication of the individual.

Description

Massage device, system, and method capable of deriving individual parameters Field of Invention

The present invention generally relates to massage devices, systems, and methods capable of obtaining one or more physiological and/or emotional parameters of an individual.

Background of the Invention

The following discussion of the background of the invention is merely intended to facilitate an understanding of the invention. It is to be understood that the discussion does not confirm or admit that the priority date of any of the stated material with respect to the invention is published, known or part of the common general knowledge to those skilled in the art in any jurisdiction.

Massage devices or equipment such as massage chairs have become increasingly popular as a lifestyle piece of equipment. In addition to having massage mechanisms or actuators capable of providing massage functions to different parts of the body, some massage devices may include sensors or measurement devices for obtaining physiological parameters such as an individual's heart rate, breathing rate, body temperature, and/or blood pressure . For example, in the case of a massage chair, the physiological parameters can be obtained while the individual is sitting in the massage chair.

While physiological parameters are useful, it is necessary to provide a more comprehensive measure of indicators that may affect individual well-being.

The goal is to at least partially satisfy the aforementioned needs.

Summary of Invention

A system and/or massage device comprising one or more physiological sensors for obtaining a plurality of physiological parameters of an individual and thereby obtaining a first associated with the plurality of physiological parameters Emotional function.

In some embodiments, the plurality of physiological parameters include heart rate and breathing rate of the individual.

In some embodiments, the second emotion indication is derived based on the plurality of physiological parameters and the first emotion indication.

In some embodiments, the second affective function is an indication of the state of the individual experiencing physical stress. The body tone is quantified by a mathematical function expressed as follows: body tone = A * heart rate + B * respiration rate + C * pressure

where A, B, and C are non-zero weights associated with the individual's heart rate, breathing rate, and pressure level, respectively.

In some embodiments, A, B, and C are positive values.

In some embodiments, the non-zero weights A, B, and C are calculated based on average heart rate, average breathing rate, and average pressure values.

In some embodiments, the non-zero weight A is calculated based on an average heart rate range of 33 to 200 beats per minute, which corresponds to an A value between 0.16 and 1.11.

In some embodiments, the non-zero weight B is calculated based on an average breathing rate of 8 to 25 breaths per minute, which corresponds to a B value between 1.33 and 4.16.

In some embodiments, the non-zero weight C is calculated based on an average pressure value of 1 to 5, which corresponds to a C value between 6.66 and 33.33.

In some embodiments, an individual's Physiological data calibration weights A, B and C.

In some embodiments, the weights A, B, and C may be calibrated based on a set of individuals' physiological data collected over a predetermined period of time.

In some embodiments, the sensor may be located on the massage device. It may include electrodes configured as plates on the surface of the massage device for detecting the heart rate of the individual.

In some embodiments, the sensor may be located on a wearable device to detect at least one physiological parameter of the individual. The wearable device may include a watch.

According to an aspect of the present disclosure, there is a massage device having a processor that can be configured to receive a first data set associated with a physiological parameter of an individual to derive a first emotional indication of the individual , wherein the first emotion indication and the first data set are configured as inputs for obtaining a second emotion indication of the individual.

In some embodiments, the first emotion indication is the stress level of the individual and the second emotion indication is the stress level of the individual.

In some embodiments, the massage device includes a communication module configured to receive or transmit the first data set.

In some embodiments, the communication module is a wireless communication module.

In some embodiments, a third affective indication of the individual's mood may be obtained. The emotion may be derived based on a heart rate measurement of the individual over a predetermined period of time. The predetermined period should be at least 30 seconds, and preferably one minute. The heart rate signal may be obtained via an ECG (electrocardiogram) method.

The mood of the individual may preferably be derived based on HRV (Heart Rate Variability) values calculated from the heart rate signal. HRV represents the time difference between consecutive heartbeats. Next, the frequency components of the HRV signal are analyzed to calculate a value from 1 to 100 indicative of the emotion of the individual.

In some embodiments, the frequency component of the HRV signal includes a frequency component from 0.15 Hz to 0.4 Hz A frequency component and a second frequency component from 0.04 Hz to 0.15 Hz. The first frequency HRV component is relatively high and is associated with parasympathetic activity in the autonomic nervous system (ANS). The second frequency HRV (ie, the lower frequency HRV) is associated with sympathetic activity in the ANS.

In some embodiments, the massage device is a massage chair.

In some embodiments, the one or more massage drivers of the massage chair are arranged to receive the physiological parameter, the first emotion indication, and/or the second emotion indication as feedback material to provide feedback on the One or more massage actuators are activated, deactivated, accelerated, or decelerated.

According to another aspect of the present disclosure, there is a method for deriving parameters of an individual using a massage device, the method comprising the steps of: (a.) receiving a first data set associated with the individual's physiological parameters to derive the obtained a first emotional indication of the individual; (b.) arranging the first emotional indication and the first data set as inputs for deriving a second emotional indication of the individual.

According to another aspect of the present disclosure, there is a non-transitory computer-readable medium that stores executable computer instructions such that, when executed, the computer-executable instructions cause the computer to execute parameters for obtaining parameters for a person using a massage device The method for and the first data set arranged as input for obtaining a second emotional indication of the individual.

In some embodiments, the non-transitory computer readable medium is installed in a massage device. In other embodiments, the non-transitory computer-readable medium is installed in a mobile device.

Other aspects and features of the present invention will become apparent to those skilled in the art after reviewing the following description of specific embodiments of the present invention in conjunction with the accompanying drawings.

10: Massage device

12: Processor

14:Database

16: Communication module

18: Massage Drive

20: Physiological Sensors

32: Datasets

50: Wearable or Mobile Devices

Embodiments of the invention are shown by way of non-limiting example only in the figures, Figure 1 : shows a massage device having a massage device comprising or integrating one or more physiological sensors Embodiments; Figure 2: shows a further embodiment wherein the massage device is arranged to be in signal communication with one or more physiological sensors; Figure 3: shows experimental results for a or multiple massage sessions exhibit a significant correlation between two physiological parameters and an emotion indicator; and Figure 4: shows another possible emotion indicator (emotional ).

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENT

Throughout this document, unless otherwise indicated to the contrary, the terms "comprising," "consisting of," "having," etc. are to be construed as non-exhaustive, or, in other words, to mean "including, but not limited to".

Furthermore, throughout this document, unless the context requires otherwise, the word "comprising" or variations such as "comprising", "comprising" will be understood to indicate that the stated integer or set of integers is included, but not Any other integers or groupings of integers are excluded.

Throughout this specification, it should be understood that the term "processor" and its plural forms include microcontrollers, microprocessors, programmable controllers capable of processing one or more input electronic signals to generate one or more output electronic signals Programmable ICs (eg, application specific ICs (ASICs)), computer servers, electronic devices, and/or combinations thereof.

Throughout this specification, it should be understood that the term "emotional indication" may broadly include the mental state of the user, and may include stress levels, mood, and/or general perceptions of anxiety, stress, happiness, relaxation, etc. Feel.

Unless otherwise defined, all other technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which the claimed subject matter belongs.

According to one aspect of the present disclosure, there is a massage device having a processor that can be configured to receive a first data set associated with an individual's physiological parameters to derive a first emotion for the individual An indication, wherein the first emotion indication and the first data set are configured as inputs for obtaining a second emotion indication of the individual.

FIG. 1 is a system diagram of a massage device 10 and selected features capable of sending and receiving physiological data, and processing such physiological data to obtain emotional indications from the user.

The massage device 10 includes a processor 12 , a database 14 , and a communication module 16 . The processor 12 may be arranged to communicate data with the various massage drivers 18 to send control signals to the massage drivers 18 or to receive data such as position or driver power data from each massage driver 18 .

The massage device 10 includes a physiological sensor 20 for detecting or calculating the physiological parameters of the user. In some embodiments, the physiological sensor 20 is a heart rate sensor arranged to detect the heart rate of a user using the massage device 10 . In some embodiments, the heart rate sensor may be an ECG sensor capable of obtaining electrocardiogram (ECG) related information from the user. It should be noted that ECG-related information is available whether or not the user is receiving massage. In some embodiments, ECG information may be obtained before the user undergoes the massage procedure and after the user undergoes the massage procedure. The ECG information obtained before and after a massage procedure can be analyzed as one possible way of measuring the efficacy of the massage procedure.

In some embodiments, ECG information may be obtained while the individual is receiving a massage.

ECG-related information includes heart rate variability (HRV) and ECG-derived respiration (EDR) signals per cardiac cycle. In some embodiments, massage device 10 also includes one or more additional sensors for deriving the breathing rate of the user of massage device 10 .

In some embodiments, the HRV-related information includes one or more of the following: RRI, SDNN, NN50, PNN50, RMSSD, triangular index, HF and LF, ratio of HF to LF.

In some embodiments, an individual's cardiac age index or value may be derived based on ECG information. Other physiological or emotional parameters derived from ECG information include an individual's stress indicators, heart rate, and mood.

Examples of massage actuators 18 include, but are not limited to, one or more rollers for kneading and tapping motions, one or more z-axis positioning mechanisms, one or more airbag pumps, one or more vibration plate mechanisms, One or more forward positioning mechanisms, and one or more heating elements.

Other examples of massage driver 18 may include a thermostat, such as a heater or cooler, for providing the user with a desired temperature while massaging.

The obtained physiological parameters may be organized and stored as datasets 32 . The dataset 32 is processed to obtain a first emotional indication for the user. The first emotion indication may be the user's stress level. In some embodiments, data set 32 may be used to derive another emotional indication, such as the user's mood.

Obtaining an emotional indication-user's stress may include the use of electrocardiographic data.

The data set 32 and the user's first emotional indication (eg, stress) may be used to derive the user's second emotional indication. The second emotion indication may be an indication of tension experienced by the user. The relationship between the first emotional indicator, the second emotional indicator and the physiological parameter can be expressed in the following form: body tension = A * heart rate + B * breathing rate + C * stress (1)

A, B, and C are non-zero weights associated with an individual's heart rate, breathing rate, and stress, respectively.

A, B, and C may be positive values and may or may not be integers.

In some embodiments, the non-zero weights A, B, and C are derived based on mean heart rate, mean breathing rate, and mean pressure values.

In some embodiments, the non-zero weight A is calculated based on an average heart rate range of 33 to 200 beats per minute, which corresponds to an A value between 0.16 and 1.11.

In some embodiments, the non-zero weight B is calculated based on an average breathing rate of 8 to 25 breaths per minute, which corresponds to a B value between 1.33 and 4.16.

In some embodiments, the non-zero weight C is calculated based on an average pressure value of 1 to 5, which corresponds to a C value between 6.66 and 33.33.

In some embodiments, the weights A, B, and C may be calibrated based on an individual's physiological data collected over a predetermined period of time (eg, within a plurality of massage programs), wherein the physiological data is collected before and after the procedure.

In some embodiments, the weights A, B, and C may be calibrated based on a set of individuals' physiological data collected over a predetermined period of time. The physiological data of each individual in the group may be collected over a predetermined period of time (eg, within a plurality of massage programs), wherein the physiological data of each individual in the group is Collected before and after each massage procedure. The cohorts can be based on age group, gender, weight, or other biological classification.

It should be understood that the non-zero weights A, B, and C can generally be calibrated according to the baseline of a single user, also called individual calibration, or can be calibrated according to the state of a large group, also called group calibration.

Figure 2 shows another possible embodiment wherein the massage device 10 is arranged for data or signal communication with a wearable or mobile device 50 (eg a smart watch or smartphone). The wearable or mobile device 50 may communicate with the massage device 10 via wireless communication protocols such as Bluetooth (including low energy or low LE versions) or Wi-Fi. In this embodiment, the physiological data collected by the wearable or mobile device 50 may be downloaded or synchronized with the database 14 . Such material may be organized into collection 32 (which may also be referred to as a first collection).

The described massage device 10 may take the form of a massage chair. It should be understood that by The massage chair may include sensors for detecting various states and/or operating conditions of the massage driver 18 . Such sensors may include, but are not limited to, position sensors, motion sensors, speed sensors, temperature sensors, pressure sensors, and the like. These sensors work together to detect changes in the state of the actuator or massage actuator 18 .

The massage device 10 as shown will be described in the context of its operation in which the massage device 10 is utilized by a user. When the massage device 10 is in the form of a massage chair, the physiological sensor may be in the form of a metal plate located at a pair of armrests to obtain the heart rate information of the user. Alternatively or in combination, the user may also wear the wearable device 50 to obtain physiological information. When the user sits in the massage chair, the physiological sensors are activated to obtain heart rate data in real time or near real time. The collected physiological data is stored in the database 14 and organized into data sets associated with the user. The processor 12 is operative to receive the data set to obtain the user's breathing rate and pressure indicators. The physiological sensor can be programmed to automatically obtain physiological data before a massage program is initiated and/or after a massage program is completed.

Next, the processor 12 obtains the user's body tension according to equation (1).

In some embodiments, the weights A, B and C may be A=0.505, B=2.222, C=16.678. These values have equivalent contributions to heart rate, respiration rate, and pressure, respectively.

Equation (1) can be derived by obtaining ECG and breathing level data from subjects (male and female) before and after using the massage device for one or more predetermined time periods. Additionally, each subject may be asked to fill out a questionnaire describing the massage experience.

Figure 3 shows the paired t-test results indicating that, among the other parameters recorded, three parameters, heart rate, respiration rate, and pressure, exhibited significant reductions after massage. The method used for the foregoing conclusions is based on comparing each parameter recorded in the same subject before and after massage, and identifying any parameter that is statistically significantly different.

In some embodiments, one or more of the user's other His emotional instructions. An example of another emotion indication is the user's emotion. This can be shown in FIG. 4 .

The correlation in Figure 4 can be derived based on analyzing the user's ECG measurements over time. The measurement period may be at least 30 seconds, preferably one minute or more. HRV (heart rate variability) was calculated from the ECG signal. The frequency components of the HRV signal are analyzed to calculate values from 1 to 100. Next, a suitable interpretation of the value can be displayed to the user. The user's heart rate and HRV are controlled by a combination of the sympathetic and parasympathetic components of the human autonomic nervous system (ANS). The relationship between high frequency heart rate variability (HRV) (defined as from 0.15 Hz to 0.4 Hz) and low frequency heart rate variability (defined as from 0.04 Hz to 0.15 Hz) was calculated. High-frequency HRV is associated with parasympathetic activity in the autonomic nervous system (ANS), whereas low-frequency HRV is associated with sympathetic activity in the ANS. Some researchers believe that parasympathetic activity is associated with relaxation and sympathetic activity is associated with tension.

In some embodiments, a "mood" level ranging from 1 to 100 may be calibrated, as shown in FIG. 4 . A high value of the emotional level tends to indicate stress, fatigue, or a "tense/high" mood, while a low value of the emotional level tends to indicate a state of relaxation/calm.

In some embodiments, the relaxation level may be derived based on the "mood" level, which is mathematically expressed as: Relaxation = 100 - Mood Value(2)

The mood value may be an empirical limit based on the HF/LF ratio of HRV that is linearly mapped to values between 0 and 100.

Those skilled in the art will also recognize that variations and combinations of the above-described features, without substitution or substitution, may be combined to form additional embodiments within the intended scope of the present invention.

As will be understood by those skilled in the art, each embodiment may be used in conjunction with other embodiments or embodiments.

10: Massage device

12: Processor

14:Database

16: Communication module

18: Massage Drive

20: Physiological Sensors

32: Datasets

Claims (17)

A massage device comprising: a processor configurable to receive a first data set associated with an individual's heart rate and respiration rate obtained over a predetermined period of time; to derive said first data set based on said first data set the stress level and mood of an individual; to obtain an indicator of the individual's body tension, which is quantified by a mathematical function expressed as: body tension = A * heart rate + B * respiration rate + C * pressure level ; wherein A, B, and C are non-zero weights associated with the heart rate, the breathing rate, and the pressure level of the individual, respectively; and one or more massage actuators, It is arranged to be in data communication with the processor. The massage device of claim 1, wherein the non-zero weights A, B, and C are calculated based on average heart rate, average breathing rate, and average pressure values, respectively. The massage device of claim 2, wherein at least one of the average heart rate, the average breathing rate, and the average pressure value is one of a group average or an individual average. A massage device as claimed in any one of claims 1 to 3, further comprising at least one physiological sensor arranged to be in signal or data communication with the processor to provide communication with the and said first data set associated with said heart rate and said respiration rate of said individual. The massage device of claim 4, wherein the at least one physiological sensor is located on the massage device. The massage device of claim 4, wherein the at least one physiological sensor is located on a wearable device to detect the heart rate and the breathing rate of the individual. The massage device of claim 1, further comprising a communication module configured to connect to receive or transmit the first data set. The massage device according to claim 7, wherein the communication module is a wireless communication module. The massage device of any one of claims 1 to 3, 7 and 8, wherein the heart rate of the individual obtained over a predetermined period of time comprises a heart rate signal, and the mood of the individual is derived from the heart rate variability (HRV) value calculated from the heart rate signal. The massage device of claim 9, wherein the HRV value includes a frequency component that is analyzed to calculate a value from 1 to 100 indicative of the emotion of the individual. The massage device of any one of claims 1 to 3, 7, and 8, wherein the emotion includes an emotion level utilized to obtain a relaxation level. The massage device of any one of claims 1 to 3, 7 and 8, wherein the massage device is a massage chair. A massage device as claimed in any one of claims 1 to 3, 7 and 8, wherein the one or more massage drivers are arranged to receive the heart rate, the pressure level, the body tension The indicator and/or the emotion serves as feedback data to activate, de-activate, accelerate, or decelerate the one or more massage actuators. A method for deriving parameters of an individual using a massage device, comprising the steps of: (a.) receiving a first data set associated with an individual's heart rate and respiration rate obtained over a predetermined period of time to derive the obtained the stress level and mood of the individual; (b.) arranging the stress level and the first data set as input for obtaining a body tension indicator of the individual, the body tension indicator is quantified by a mathematical function expressed as: body tone = A * heart rate + B * respiration rate + C * pressure level ; where A, B, and C are related to the individual's heart rate, the respiration rate and non-zero weight associated with said stress level; (c.) arranging said heart rate, said stress level, said body tension indicator and/or said emotion of said individual as feedback data to activate, deactivate, accelerate, or decelerate one or more massage actuators. A non-transitory computer-readable medium storing executable computer instructions so that when the computer-executable instructions are executed, the computer is used to execute a method for obtaining parameters of an individual, the method comprising the steps of: (a.) receiving a first data set associated with an individual's heart rate and respiration rate obtained over a predetermined time period to obtain the individual's stress level and mood; (b.) correlating the stress level with the The first data set is arranged to obtain input for a body tone indicator of the individual, the body tone indicator being quantified by a mathematical function expressed as follows: body tone = A * heart rate + B * breathing rate + C * pressure level ; where A, B, and C are non-zero weights associated with the heart rate, respiration rate, and pressure level of the individual, respectively; (c.) The heart rate, the stress level, the body tension indicator, and/or the emotional arrangement of the individual as feedback data to activate, deactivate, accelerate, or decelerate one or more massage actuators . The non-transitory computer-readable medium of claim 15, wherein the non-transitory computer-readable medium is installed in a massage device. The non-transitory computer-readable medium of claim 15, wherein the non-transitory computer-readable medium is installed in a mobile device.

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